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tramME  

Transformation Models with Mixed Effects
View on CRAN: Click here


Download and install tramME package within the R console
Install from CRAN:
install.packages("tramME")

Install from Github:
library("remotes")
install_github("cran/tramME")

Install by package version:
library("remotes")
install_version("tramME", "1.0.7")



Attach the package and use:
library("tramME")
Maintained by
Balint Tamasi
[Scholar Profile | Author Map]
First Published: 2020-03-21
Latest Update: 2023-06-29
Description:
Likelihood-based estimation of mixed-effects transformation models using the Template Model Builder ('TMB', Kristensen et al., 2016) <doi:10.18637/jss.v070.i05>. The technical details of transformation models are given in Hothorn et al. (2018) <doi:10.1111/sjos.12291>. Likelihood contributions of exact, randomly censored (left, right, interval) and truncated observations are supported. The random effects are assumed to be normally distributed on the scale of the transformation function, the marginal likelihood is evaluated using the Laplace approximation, and the gradients are calculated with automatic differentiation (Tamasi & Hothorn, 2021) <doi:10.32614/RJ-2021-075>. Penalized smooth shift terms can be defined using 'mgcv'.
How to cite:
Balint Tamasi (2020). tramME: Transformation Models with Mixed Effects. R package version 1.0.7, https://cran.r-project.org/web/packages/tramME. Accessed 12 Apr. 2025.
Previous versions and publish date:
0.0.1 (2020-03-21 18:40), 0.0.2 (2020-04-07 17:00), 0.0.3 (2020-07-31 10:30), 0.0.4 (2021-02-04 16:30), 0.1.0 (2021-03-30 14:10), 0.1.1 (2021-04-13 23:30), 0.1.2 (2021-08-16 14:30), 0.1.3 (2022-03-08 13:30), 1.0.0 (2022-04-12 18:10), 1.0.1 (2022-04-25 09:10), 1.0.2 (2022-07-05 02:20), 1.0.3 (2022-09-05 11:40), 1.0.4 (2023-04-04 17:10), 1.0.5 (2023-06-29 17:50), 1.0.6 (2024-07-02 18:00)
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Complete documentation for tramME
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